diffusers

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Objects From Dreambooth Training Are Not in Output

3

### Describe the bug I am trying to use the train_dreambooth.py script with the example [images of a dog](https://drive.google.com/drive/folders/1BO_dyz-p65qhBRRMRA4TbZ8qW4rB99JZ). When I run inferencing on the model that is output from...

rajbala

How could I convert a LoRA .safetensors or .ckpt file into the format that diffusers can process?

12

### Describe the bug I got some LoRA model in .safetensors format, and tried to convert in to the format that can be used in diffusers. But nowhere I can...

garyhxfang

Dreambooth example with multi-gpu significantly slower than single GPU

8

### Describe the bug If the `accelerate config` is setup for multi-GPU (default config works) then training speed appears to dramatically slow. With a 2x 3090 system I'm seeing training...

subpanic

Error running convert_dance_diffusion_to_diffusers.py

6

### Describe the bug When I try to convert a Dance Diffusion .ckpt file to use with my Diffusers implementation, I'm running into this error: ``` File "./convert_dance_diffusion_to_diffusers.py", line 10,...

Skquark

use a custom model in pipeline. unable to load directly by from_pretrained()

4

I define a new unet class (eg. CustomUnet)and a new pipeline(CustomPipeline) that is slightly different from StableDiffusionPipeline. After training, I use `save_pretrained()` to save it and I find the `model_index`...

Weifeng-Chen

@patrickvonplaten reminder!

patrickvonplaten

Weighted Prompts for Diffusers stable diffusion pipeline

35

I could not find anything for diffusers and unfortunately I'm not on the Level yet where I can implement it myself. :) It would be amazing to be able to...

UglyStupidHonest

add pipeline of DifFace

5

Please integrate the pipeline of DifFace (https://arxiv.org/abs/2212.06512) to diffusers. DifFace aims to solve the problem of face image enhancement using a pre-trained diffusion model. Thanks.

zsyOAOA

Is unet architecture changed as diffusers upgrading?

2

### Describe the bug I want to export onnx for UNet2DConditionModel by torch.onnx.export. However, when I use diffusers==0.12.1, I get a model larger than 2GB, which outputs a bunch of...

1049451037

train unconditional update

4

- workaround for inference section after training pipeline finishes - 2/9 manual update

prathikr